Predicting Learning Behavior of Students using Classification Techniques

  title={Predicting Learning Behavior of Students using Classification Techniques},
  author={K. Prasada Rao and Tekkali and M. V. P. Chandra Sekhara and Rao and Balasubramaniam Ramesh},
The main objective of any educational organization is to provide quality education and improve the overall performance of an institution by looking at individual performances. One way to analyze learners' performances is to identify the areas of weakness and guide their students to a better future. Although data mining has been successful in many areas, its use in student performance analysis is still relatively new, i.e. the knowledge is hidden in educational data set and it is extracted using… CONTINUE READING

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
3 Extracted Citations
9 Extracted References
Similar Papers

Referenced Papers

Publications referenced by this paper.
Showing 1-9 of 9 references

K.Prasada Rao, “Performance Evaluation of Entropy and Gini using Threaded and Non Threaded ID3 on Anaemia Dataset

  • Ch.Ravi Kishore
  • 2015

Hijazi and Naive , “ Factors Affecting Students ’ Performance

  • A. Merceron, K. Yacef
  • 2013

Factors Affecting Students’ Performance” Bangladesh e-Journal of 1 / 2 Predicting Learning Behavior of Students using Classification Techniques Sociology

  • Hijazi, Naive
  • Volume 3. Number
  • 2006

Quality of Graduate Students by Data Mining" Department of Computer Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand

  • Waiyamai, K. Improving
  • 2003

Similar Papers

Loading similar papers…